The description
PyTorch for Deep Learning in 2023: Zero to Mastery is a hands-on, step-by-step training course for the PyTorch library for deep learning, published by ZeroToMastery Academy. In this training, you will learn about the process of designing and developing machine learning and deep learning models using the powerful PyTorch library in a completely practical and project-oriented way. Zero Two Master Academy has guaranteed the up-to-date content and the scientific and technical accuracy of the courses published on its website, and this course is practically one of the best and most comprehensive courses available in the field of deep learning. and the PyTorch framework. In the simplest possible definition, PyTorch is a library and framework based on the Python programming language, which is used in the development of models and systems based on machine learning and deep learning.
PiTorch lets you develop your own unique algorithms or use widely used algorithms such as artificial neural networks for your various projects. Artificial neural networks have become very popular today and most applications and systems based on artificial intelligence have taken advantage of it. Meta, Tesla and Apple can be cited among the most important companies that have used this technology. Apple has exclusively developed advanced computational photography capabilities using existing deep learning algorithms and models.
What You’ll Learn in PyTorch for Deep Learning in 2023: From Zero to Mastery
- Installing, Configuring, and Basic PyTorch Setup
- Develop the first deep learning models with PyTorch
- Advantages and potentials of the PieTorch library in the fields of artificial intelligence, machine learning and deep learning
- Use deep learning in different applications and systems in an integrated way
- Design, development and operation of machine learning algorithms with the Python programming language
- And …
Course specifications
Editor: Udemy
Instructors: Andrei Neagoie , Daniel Bourque , Zero to mastery
French language
Intermediate level
Number of lessons: 329
Duration: 49 hours and 4 minutes
Course topics on 2022/11
Requirements for PyTorch for Deep Learning
Obligatory:
A computer (Linux/Windows/Mac) with an Internet connection
Basic knowledge of Python
Recommended:
Prior knowledge of Machine Learning is recommended, but not required. Daniel provides enough additional resources to upgrade you
Experience with Jupyter Notebooks or Google Colab is recommended
Pictures
PyTorch Introductory Video for Deep Learning
Installation guide
After ripping, watch with your favorite player.
Subtitle: None
Quality: 720p
Changes:
The 2022/10 version has increased by 150 lessons and the duration by 22 hours and 19 minutes compared to 2022/7.
The 2022/11 version has increased by 5 lessons and the duration by 1 minute compared to 2022/10.
Download links
File password(s): ngaur.com
Cut
28.6 GB